Agentic Gen AI Engineer
About The Position
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job DescriptionTitle - Agentic Gen AI Engineer We are seeking a skilled Agentic AI Engineer with a passion for staying at the forefront of emerging technologies with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in realworld applications, Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains.Extensive technical breadth spanning frontend and backend development large language models LLMs machine learning retrievalaugmented generation RAG and agentic AI solutionsProven experience designing developing integrating deploying and maintaining sophisticated AIdriven systems at scale
Requirements
- Agentic AI Construction Building agentic AI multinode decision models that include things like retrieval augmented generation RAG semantic search state graphsagentic memory calling APIs
- Agentic AI Guidance Adding guardrails human in the loop multiagent work flows reflection citing sources response verification and other methodologies to increase the accuracy of agentic responses and prevent hallucinations
- Experience building with LangChainLangGraphLangSmithGoogle GeminiOpenAIs API OpenAIs SwarmAgentsSDK vector databases finetuning SageWorks BedRock Docker
- AI Centered Coding Workflow Experience conducting research systems architecting analyzing code troubleshooting and writing code with LLMs Cursor AI Copilot etc
- Ability to Present Proof of Concepts Well frontend backend devops experience to craft proof of concepts for agentic AI solutions
Nice To Haves
- Strong knowledge of fullstack development for AIdriven applications
- Familiarity with Docker Kubernetes and DevOps methodologies
- Background in AI research and experimentation
Benefits
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
